code: def hybrid_forward(
      self, F, input_item, item_valid_length, input_context_list
  ):
      item_outs = self.sequence_transformer(
          input_item, item_valid_length
      )
      context_outs = self.context_transformer(input_context_list)
  
      outs = F.broadcast_mul(item_outs, context_outs)
      outs = self.dense1(outs)
      outs = self.act(outs)
      outs = self.dense2(outs)
  
      return outs
  
file_path: analytics-zoo/pyzoo/zoo/models/recommendation/txt.py
imports: from mxnet import gluon
  from gluonnlp.model.transformer import TransformerEncoder, TransformerEncoderCell
label_desc: Use image node_id 2 for calling the TxT obj's underlying member method code with example usage: obj.hybrid_forward(F, input_item, item_valid_length, input_context_list) and returns: outs